Image resolution enhancement using dual-tree complex wavelet transform and neural networks

Shirin Salehi; Homayoun Mahdavi-Nasab; Hossein Pourghassem

doi:10.1117/12.913285

30 September 2011 Image resolution enhancement using dual-tree complex wavelet transform and neural networks

Shirin Salehi, Homayoun Mahdavi-Nasab, Hossein Pourghassem

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82850M (2011) https://doi.org/10.1117/12.913285
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

In this paper, an image resolution enhancement algorithm using dual-tree complex wavelet transform and neural network is proposed. The low resolution image is used as the input signal of the neural network and the network estimates all the 16 wavelet subbands of the corresponding high resolution image. The high resolution image is then obtained using the inverse dual-tree complex wavelet transform. Directional selectivity of the DT-CWT increases the accuracy of subband estimation done by the neural network. Subjective comparisons and objective quality assessments indicate additional improvement over the conventional bicubic and bilinear interpolation techniques and even new complex counterpart methods.

Citation Download Citation

Shirin Salehi, Homayoun Mahdavi-Nasab, and Hossein Pourghassem "Image resolution enhancement using dual-tree complex wavelet transform and neural networks", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82850M (30 September 2011); https://doi.org/10.1117/12.913285

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